Literature DB >> 27684890

Involvement of the caudate nucleus head and its networks in sporadic amyotrophic lateral sclerosis-frontotemporal dementia continuum.

Michihito Masuda1, Joe Senda1, Hirohisa Watanabe1,2, Bagarinao Epifanio2, Yasuhiro Tanaka1, Kazunori Imai1, Yuchi Riku1, Yuanzhe Li3, Ryoichi Nakamura1, Mizuki Ito1, Shinsuke Ishigaki1, Naoki Atsuta1, Haruki Koike1, Masahisa Katsuno1, Nobutaka Hattori3, Shinji Naganawa4, Gen Sobue1,2.   

Abstract

We investigated common structural and network changes across the sporadic amyotrophic lateral sclerosis (ALS)-frontotemporal dementia (FTD) continuum. Based on cluster analysis using the frontotemporal assessment battery, 51 patients with sporadic ALS were subdivided into three groups: 25 patients with ALS with cognitive deficiency (ALS-CD); seven patients who satisfied FTD criteria (ALS-FTD), and 19 patients with ALS with normal cognitive function (ALS-NC). Compared with the controls, gray matter images from patients with ALS-FTD showed atrophic changes in the following order of severity: caudate head, medial frontal gyrus, thalamus, amygdala, putamen, and cingulate gyrus (peak level, uncorrected p < 0.001). The caudate head was significant at the cluster level using FWE correction (p < 0.05). Diffusion tensor imaging with tract-based spatial statistics revealed white matter changes in the areas surrounding the caudate head, the internal capsule, and the anterior horn of the lateral ventricle in the ALS-CD and ALS-FTD. Probabilistic diffusion tractography showed a significant decrease in structural connectivity between the caudate head and the dorsomedial frontal cortex and the lateral orbitofrontal cortex, even in the ALS-NC. Our results indicated that the caudate head and its networks were the most vulnerable to lesion in sporadic ALS-FTD-spectrum patients associated with cognitive decline with FTD features.

Entities:  

Keywords:  Voxel-based morphometry (VBM); amyotrophic lateral sclerosis (ALS); frontotemporal dementia (FTD); probabilistic diffusion tractography; tract-based spatial statistics (TBSS)

Mesh:

Year:  2016        PMID: 27684890     DOI: 10.1080/21678421.2016.1211151

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   4.092


  5 in total

Review 1.  Neuroimaging in genetic frontotemporal dementia and amyotrophic lateral sclerosis.

Authors:  Suvi Häkkinen; Stephanie A Chu; Suzee E Lee
Journal:  Neurobiol Dis       Date:  2020-09-02       Impact factor: 5.996

Review 2.  Clinical and Radiological Markers of Extra-Motor Deficits in Amyotrophic Lateral Sclerosis.

Authors:  Foteini Christidi; Efstratios Karavasilis; Michail Rentzos; Nikolaos Kelekis; Ioannis Evdokimidis; Peter Bede
Journal:  Front Neurol       Date:  2018-11-22       Impact factor: 4.003

Review 3.  Pathogenesis of Frontotemporal Lobar Degeneration: Insights From Loss of Function Theory and Early Involvement of the Caudate Nucleus.

Authors:  Gen Sobue; Shinsuke Ishigaki; Hirohisa Watanabe
Journal:  Front Neurosci       Date:  2018-07-12       Impact factor: 4.677

4.  Frontostriatal grey matter atrophy in amyotrophic lateral sclerosis A visual rating study.

Authors:  Ratko Radakovic; Vaisakh Puthusseryppady; Emma Flanagan; Matthew C Kiernan; Eneida Mioshi; Michael Hornberger
Journal:  Dement Neuropsychol       Date:  2018 Oct-Dec

5.  Alterations of Striatal Subregions in a Prion Protein Gene V180I Mutation Carrier Presented as Frontotemporal Dementia With Parkinsonism.

Authors:  Zhongyun Chen; Jinghong Ma; Li Liu; Shuying Liu; Jing Zhang; Min Chu; Zhen Wang; Piu Chan; Liyong Wu
Journal:  Front Aging Neurosci       Date:  2022-04-15       Impact factor: 5.702

  5 in total

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